{ "schema_version": 1, "title": "Reproduction: DiFA: Inference-Time Forward-Process Alignment for Diffusion Models", "emoji": "🎯", "space_id": "debrajsingha/repro-difa-inference-time-forward-process-alignment-for-diffusion-models", "paper": null, "tags": [ "icml2026-repro", "paper-YGyWLM0OEW" ], "updated_at": "2026-07-19T14:10:59+00:00", "root": { "slug": "index", "title": "Reproduction: DiFA: Inference-Time Forward-Process Alignment for Diffusion Models", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-difa-reformulates-diffusion-sampling-as-sequential-state-estimation-problem-using-fading-memory-kalman-filter-strategy", "title": "Claim 1: DiFA reformulates diffusion sampling as sequential state estimation problem using fading-memory Kalman filter strategy.", "file": "pages/claim-1-difa-reformulates-diffusion-sampling-as-sequential-state-estimation-problem-using-fading-memory-kalman-filter-strategy/page.md", "children": [] }, { "slug": "claim-2-yields-significant-improvements-in-fid-is-and-fd-dinov2-scores-on-cifar-10-and-imagenet", "title": "Claim 2: Yields significant improvements in FID, IS, and FD-DINOv2 scores on CIFAR-10 and ImageNet.", "file": "pages/claim-2-yields-significant-improvements-in-fid-is-and-fd-dinov2-scores-on-cifar-10-and-imagenet/page.md", "children": [] }, { "slug": "claim-3-introduces-deviation-boosting-mechanism-adaptively-restoring-high-frequency-details-to-counteract-over-smoothing", "title": "Claim 3: Introduces deviation boosting mechanism adaptively restoring high-frequency details to counteract over-smoothing.", "file": "pages/claim-3-introduces-deviation-boosting-mechanism-adaptively-restoring-high-frequency-details-to-counteract-over-smoothing/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 5053, "revision": "1784470259322052172" }